[arXiv 2024] Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu.
[Project page] [Paper] [Code] [Video]

MVSGaussian is a Gaussian-based method designed for efficient reconstruction of unseen scenes from sparse views in a single forward pass. It offers high-quality initialization for fast training and real-time rendering.

[CVPR 2024] Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
Tianqi Liu, Xinyi Ye, Min Shi, Zihao Huang, Zhiyu Pan, Zhan Peng, Zhiguo Cao.
[Project page] [Paper] [Code] [Video]

We present GeFu, a generalizable NeRF method that synthesizes novel views from multi-view images in a single forward pass.

[CVPR 2024] 3D Multi-frame Fusion for Video Stabilization
Zhan Peng, Xinyi Ye, Weiyue Zhao, Tianqi Liu, Huiqiang Sun, Baopu Li, Zhiguo Cao.
[Paper] [Code]

RStab is a novel framework for video stabilization that integrates 3D multi-frame fusion through volume rendering.

[ICCV 2023] When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
Tianqi Liu, Xinyi Ye, Weiyue Zhao, Zhiyu Pan, Min Shi, Zhiguo Cao.
[Paper] [Code]

ETMVSNet uses epipolar geometric priors to constrain feature aggregation fileds, thereby efficiently inferring multi-view depths and reconstructing scenes.

[ICCV 2023] Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
Xinyi Ye, Weiyue Zhao, Tianqi Liu, Zihao Huang, Zhiguo Cao, Xin Li.
[Paper] [Code]

DMVSNet proposes a new perspective to consider the depth geometry of multi-view stereo and introduces a dual-depth approach to approximate the depth geometry with saddle-shaped cells.